| Rescue & rebuild | Start over from scratch | |
|---|---|---|
| Users during the work | Stay on the product | Wait for the new one, or get migrated later |
| What's kept | Product logic, UI flows, data | Usually nothing but the idea |
| First visible fix | Security, in the first weeks | When the new build ships |
| Risk | Hidden problems in old code | Rebuilding features you already had |
| Our examples | HELM: 12 weeks. PlayBombhole: 3.5 months | — |
Should you rescue or rebuild? Use this 2×2
| Data model is sound | Data model is broken | |
|---|---|---|
| Failures sit in a few layers | Rescue | Rescue + data migration |
| Failures are everywhere | Phased rebuild | Start over |
When starting over is the better choice
- •The data model can't represent your business.
- •Fixing one thing breaks three others, in most of the codebase.
- •You're changing the product so much that little would survive anyway.
When a rescue is the better choice
- •Real users and real data are already on the product.
- •The failures are in auth, payments, deploys or dashboards.
- •You need security fixed this month.
Where SociiLabs fits
We do both, and the audit decides which. HELM was rescued into a role-based hospitality platform for 2,000+ providers in 12 weeks. PlayBombhole was secured first and launched as a multi-lane scoring platform in 3.5 months, with 4+ venues live.
HELM & PlayBombhole: two rescues
HELM: production-ready in 12 weeks for 2,000+ providers. PlayBombhole: security first, multi-lane scoring, launched in 3.5 months, 4+ venues live.
Read the HELM case studyFAQ
Questions about rescue vs rebuild from scratch
No. It's cheaper when most of the product is worth keeping. The audit puts numbers on both options.